This reference/text presents the most important optimization methods for parameter estimation, concentrating on the determination of adjustable parameters in mathematical models by the Gauss-Newton method for steady-state and dynamic systems represented by algebraic and differential equation models.
Includes Fortran computer programs for solving nonlinear estimation problems with algebraic or differential equation systems and methodologies for solving linear regression problems with Microsoft Excel and SigmaPlot on CD-ROM compatible with PC and Mac!
Containing over 900 equations, references, tables, and drawings, Applied Parameter Estimation for Chemical Engineers:
- offers shortcut methods specific to ordinary differential equation (ODE) models and sequential experimental designs for precise parameter estimation and model discrimination
- emphasizes the application of mathematical techniques rather than formal theory development
- considers multivariate and high dimensionality ODE systems with unknown initial conditions, unobserved state variables, and nonlinear relationships between state and output variables
- features problems from chemical, biochemical, and petroleum reservoir engineering
- provides tips and guidelines on how to set up and solve parameter estimation problems and define items, including a suitable weighting matrix and Marquardt’s directional parameter and more!
Applied Parameter Estimation for Chemical Engineers is a first-rate reference for chemical, biochemical, mechanical, plant, process, product, design, materials, agricultural, environmental, and civil engineers; biotechnologists; biochemists; and applied statisticians and mathematicians; and a superlative text for upper-level undergraduate and graduate students in these disciplines.
Prepublication praise:
"...fills an enormous gap in chemical engineering and engineering in general....puts everything into proper perspective in a very organized way. The presentation is superb....the authors have used outstanding examples throughout the text in chemical reactor design, thermodynamics, biochemical engineering, and even petroleum reservoir simulation. This is one terrific book!"
Leo A. Behie, Professor of Chemical Engineering and Director of PPRF, University of Calgary, Alberta, Canada
